Study on the criteria for the determination of the road load correlation for automobiles and an analysis of key factors

Charyung Kim, Hyunwoo Lee, Yongsung Park, Cha Lee Myung, Simsoo Park

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

To determine the fuel economy and emissions of a vehicle using a chassis dynamometer, the load to which the vehicle is subjected when it actually runs on a road, or the road load specifications, must be simulated when the dynamometer is applied. The most commonly used method to measure road load specifications is coastdown testing. Currently, road load is measured and provided by the manufacturer of the vehicle. Verification of the accuracy of the manufacturer's reported road load specifications by a third party may reveal that the specifications are inaccurate, possibly because of different testing locations, test drivers or test equipment. This study aims at identifying key factors that can affect a vehicle's road load correlation by using experimental design and deriving criteria for determining the correlation based on the energy difference.

Original languageEnglish
Article number575
JournalEnergies
Volume9
Issue number8
DOIs
Publication statusPublished - 2016

Fingerprint

Automobiles
Specifications
Dynamometers
Chassis
Testing
Fuel economy
Design of experiments

Keywords

  • Coastdown test
  • Design of experiment
  • Energy discrepancy
  • Evaluation criteria
  • Fuel economy
  • Road load

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Study on the criteria for the determination of the road load correlation for automobiles and an analysis of key factors. / Kim, Charyung; Lee, Hyunwoo; Park, Yongsung; Myung, Cha Lee; Park, Simsoo.

In: Energies, Vol. 9, No. 8, 575, 2016.

Research output: Contribution to journalArticle

Kim, Charyung ; Lee, Hyunwoo ; Park, Yongsung ; Myung, Cha Lee ; Park, Simsoo. / Study on the criteria for the determination of the road load correlation for automobiles and an analysis of key factors. In: Energies. 2016 ; Vol. 9, No. 8.
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